Dynamic Meteorology: Data Assimilation Methods:
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY
Springer New York
1981
|
| Schriftenreihe: | Applied Mathematical Sciences
36 |
| Schlagwörter: | |
| Links: | https://doi.org/10.1007/978-1-4612-5970-1 |
| Beschreibung: | One of the main reasons we cannot tell what the weather will be tomorrow is that we do not know accurately enough what the weather is today. Mathematically speaking, numerical weather prediction (NWP) is an initial-value problem for a system of nonlinear partial differential equations in which the necessary initial values are known only incompletely and inaccurately. Data at the initial time of a numerical forecast can be supplemented, however, by observations of the atmosphere over a time interval preceding it. New observing systems, in particular polar-orbiting and geostationary satellites, which are providing observations continuously in time, make is absolutely necessary to find new and more satisfactory methods of assimilating meteorological observations - for the dual purpose of defining atmospheric states and of issuing forecasts from the states thus defined. Fundamental progress in this area has been made in recent years and this book attempts to give a review and some suggestions for further improvements in the field of meteorological data assimilation methods. The European Centre for Medium Range Weather Forecasts (ECMWF) every year organises seminars for the benefit of meteorologists and geophysicists of the ECMWF Member states. The 1980 Seminar was devoted to data assimilation methods, and this book contains selected lectures from that seminar. The purpose of the seminar was twofold: it was intended to give a basic introduction to the subject, as well as an overview of the latest developments in the field |
| Umfang: | 1 Online-Ressource (XIV, 330p) |
| ISBN: | 9781461259701 9780387906324 |
| DOI: | 10.1007/978-1-4612-5970-1 |
Internformat
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| 490 | 1 | |a Applied Mathematical Sciences |v 36 | |
| 500 | |a One of the main reasons we cannot tell what the weather will be tomorrow is that we do not know accurately enough what the weather is today. Mathematically speaking, numerical weather prediction (NWP) is an initial-value problem for a system of nonlinear partial differential equations in which the necessary initial values are known only incompletely and inaccurately. Data at the initial time of a numerical forecast can be supplemented, however, by observations of the atmosphere over a time interval preceding it. New observing systems, in particular polar-orbiting and geostationary satellites, which are providing observations continuously in time, make is absolutely necessary to find new and more satisfactory methods of assimilating meteorological observations - for the dual purpose of defining atmospheric states and of issuing forecasts from the states thus defined. Fundamental progress in this area has been made in recent years and this book attempts to give a review and some suggestions for further improvements in the field of meteorological data assimilation methods. The European Centre for Medium Range Weather Forecasts (ECMWF) every year organises seminars for the benefit of meteorologists and geophysicists of the ECMWF Member states. The 1980 Seminar was devoted to data assimilation methods, and this book contains selected lectures from that seminar. The purpose of the seminar was twofold: it was intended to give a basic introduction to the subject, as well as an overview of the latest developments in the field | ||
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Datensatz im Suchindex
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| any_adam_object | |
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| building | Verbundindex |
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| discipline | Chemie / Pharmazie Mathematik |
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| illustrated | Not Illustrated |
| indexdate | 2024-12-20T17:10:42Z |
| institution | BVB |
| isbn | 9781461259701 9780387906324 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027855858 |
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| publishDate | 1981 |
| publishDateSearch | 1981 |
| publishDateSort | 1981 |
| publisher | Springer New York |
| record_format | marc |
| series | Applied Mathematical Sciences |
| series2 | Applied Mathematical Sciences |
| spellingShingle | Dynamic Meteorology: Data Assimilation Methods Applied Mathematical Sciences Chemistry Chemistry / Mathematics Meteorology Engineering Math. Applications in Chemistry Computational Intelligence Meteorology/Climatology Chemie Ingenieurwissenschaften Mathematik Dynamische Meteorologie (DE-588)4150921-3 gnd Datenverarbeitung (DE-588)4011152-0 gnd |
| subject_GND | (DE-588)4150921-3 (DE-588)4011152-0 (DE-588)1071861417 |
| title | Dynamic Meteorology: Data Assimilation Methods |
| title_auth | Dynamic Meteorology: Data Assimilation Methods |
| title_exact_search | Dynamic Meteorology: Data Assimilation Methods |
| title_full | Dynamic Meteorology: Data Assimilation Methods edited by Lennart Bengtsson, Michael Ghil, Erland Källén |
| title_fullStr | Dynamic Meteorology: Data Assimilation Methods edited by Lennart Bengtsson, Michael Ghil, Erland Källén |
| title_full_unstemmed | Dynamic Meteorology: Data Assimilation Methods edited by Lennart Bengtsson, Michael Ghil, Erland Källén |
| title_short | Dynamic Meteorology: Data Assimilation Methods |
| title_sort | dynamic meteorology data assimilation methods |
| topic | Chemistry Chemistry / Mathematics Meteorology Engineering Math. Applications in Chemistry Computational Intelligence Meteorology/Climatology Chemie Ingenieurwissenschaften Mathematik Dynamische Meteorologie (DE-588)4150921-3 gnd Datenverarbeitung (DE-588)4011152-0 gnd |
| topic_facet | Chemistry Chemistry / Mathematics Meteorology Engineering Math. Applications in Chemistry Computational Intelligence Meteorology/Climatology Chemie Ingenieurwissenschaften Mathematik Dynamische Meteorologie Datenverarbeitung Konferenzschrift |
| url | https://doi.org/10.1007/978-1-4612-5970-1 |
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